Patents by Inventor Georg SIEBER

Georg SIEBER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Prediction model for predicting product quality parameter values
    Patent number: 12770025
    Abstract: A method for training a machine-learning module of a computer-implemented prediction model for predicting product quality parameter values for one or more quality parameters of a chemical product produced by a chemical production plant. The production plant includes a plurality of sensors, each of which is configured to acquire process parameter values for one or more process parameters of a chemical process carried out by the production plant for producing the chemical product during operation of the production plant. A priori information about the production plant and the process carried out by the production plant is used, including chronological sequence information about a chronological sequence of the process carried out within the production plant, for which sensors sensor-specific time shifts between an acquisition time of training process parameter values and a production time of a product unit, during the production of which the corresponding training process parameter value was acquired.
    Type: Grant
    Filed: February 11, 2022
    Date of Patent: October 20, 2026
    Assignees: thyssenkrupp Uhde GmbH, thyssenkrupp AG
    Inventors: Robert Helterhoff, Heinrich Koch, Matthias Schoennagel, Christopher Seibel, Georg Sieber, Mylène Speisser, Sophie Ruoshan Wei
  • PREDICTION MODEL FOR PREDICTING PRODUCT QUALITY PARAMETER VALUES
    Publication number: 20240144043
    Abstract: A method for training a machine-learning module of a computer-implemented prediction model for predicting product quality parameter values for one or more quality parameters of a chemical product produced by a chemical production plant. The production plant includes a plurality of sensors, each of which is configured to acquire process parameter values for one or more process parameters of a chemical process carried out by the production plant for producing the chemical product during operation of the production plant. A priori information about the production plant and the process carried out by the production plant is used, including chronological sequence information about a chronological sequence of the process carried out within the production plant, for which sensors sensor-specific time shifts between an acquisition time of training process parameter values and a production time of a product unit, during the production of which the corresponding training process parameter value was acquired.
    Type: Application
    Filed: February 11, 2022
    Publication date: May 2, 2024
    Applicants: Uhde Inventa-Fischer GmbH, thyssenkrupp AG
    Inventors: Robert HELTERHOFF, Heinrich KOCH, Matthias SCHOENNAGEL, Christopher SEIBEL, Georg SIEBER, Mylène SPEISSER, Sophie RUOSHAN WEI